Fuzzy logic-driven expert system for the diagnosis of heart failure disease

Akinyokun O. C., Iwasokun G. B., Arekete S. A., Samuel R. W.


The heart is a key organ of the human system which pumps and circulates blood throughout the body. Its failure to perform thesefunctions often leads to total breakdown of the entire body system and in most cases results in death. In several countries of theworld, significant numbers of heart failure patients are being reported dead due to inaccurate and untimely diagnosis. Recently,expert system approach, which is anchored on Information Technology, has emerged as a strong tool for solving this problem.This paper reports on the development of aWeb and Fuzzy Logic-based Expert System for the diagnosis of heart failure disease.The proposed system consists of a Knowledge Base (which is made up of a Database), a Fuzzy Logic component, a FuzzyInference Engine and a Decision Support Engine which comprises of cognitive and emotional filter as well as Tele-medicinefacilities. The system was implemented using Hypertext Preprocessor (PHP), JavaScript and Hypertext Mark-up Language(HTML) with My Structured Query Language (MySQL) as the Database Management System. Performance analysis based ondata on selected heart failure patients and survey of some experts on heart failure disease at the State Specialist Hospital, Akure,Nigeria shows satisfactory performances of the system.

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DOI: https://doi.org/10.5430/air.v4n1p12


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Artificial Intelligence Research

ISSN 1927-6974 (Print)   ISSN 1927-6982 (Online)

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